By Manfred Mudelsee
Climate is a paradigm of a posh method. Analysing weather info is an exhilarating problem, that is elevated by way of non-normal distributional form, serial dependence, asymmetric spacing and timescale uncertainties. This publication offers bootstrap resampling as a computing-intensive procedure in a position to meet the problem. It exhibits the bootstrap to accomplish reliably within the most crucial statistical estimation concepts: regression, spectral research, severe values and correlation.
This booklet is written for climatologists and utilized statisticians. It explains step-by-step the bootstrap algorithms (including novel adaptions) and techniques for self assurance period development. It checks the accuracy of the algorithms by way of Monte Carlo experiments. It analyses a wide array of weather time sequence, giving an in depth account at the facts and the linked climatological questions.
“….comprehensive mathematical and statistical precis of time-series research suggestions geared in the direction of weather applications…accessible to readers with wisdom of college-level calculus and statistics.” (Computers and Geosciences)
“A key a part of the booklet that separates it from different time sequence works is the specific dialogue of time uncertainty…a very precious textual content for these wishing to appreciate the best way to examine weather time series.”
(Journal of Time sequence Analysis)
“…outstanding. the best books on complex sensible time sequence research i've got seen.” (David J. Hand, Past-President Royal Statistical Society)
Read Online or Download Climate Time Series Analysis: Classical Statistical and Bootstrap Methods (Atmospheric and Oceanographic Sciences Library) PDF
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Extra info for Climate Time Series Analysis: Classical Statistical and Bootstrap Methods (Atmospheric and Oceanographic Sciences Library)